You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
Copy file name to clipboardExpand all lines: articles/machine-learning/monitor-resource-reference.md
+17-1Lines changed: 17 additions & 1 deletion
Display the source diff
Display the rich diff
Original file line number
Diff line number
Diff line change
@@ -10,7 +10,7 @@ ms.topic: conceptual
10
10
ms.reviewer: larryfr
11
11
ms.author: aashishb
12
12
author: aashishb
13
-
ms.date: 03/06/2020
13
+
ms.date: 04/27/2020
14
14
---
15
15
16
16
# Azure machine learning monitoring data reference
@@ -160,6 +160,22 @@ The following are dimensions that can be used to filter quota metrics:
160
160
| Vm Family Name | Quota utilization percentage | The name of the VM family used by the cluster. |
161
161
| Vm Priority | Quota utilization percentage | The priority of the VM.
162
162
163
+
**Resource**
164
+
165
+
| Metric | Unit | Description |
166
+
| ----- | ----- | ----- |
167
+
| CpuUtilization | Percent | How much percent of CPU was utilized for a given node during a run/job. This metric is published only when a job is running on a node. One job may use one or more nodes. This metric is published per node. |
168
+
| GpuUtilization | Percent | How much percentage of GPU was utilized for a given node during a run/job. One node can have one or more GPUs. This metric is published per GPU per node. |
169
+
170
+
The following are dimensions that can be used to filter resource metrics:
171
+
172
+
| Dimension | Description |
173
+
| ----- | ----- |
174
+
| CreatedTime ||
175
+
| DeviceId | ID of the device (GPU). Only available for GpuUtilization. |
176
+
| NodeId | ID of the node created where job is running. |
0 commit comments